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Development and Applications of a Comprehensive Land Use Classification and Map for the US

Land cover maps reasonably depict areas that are strongly converted by human activities, but typically are unable to resolve low-density but widespread development patterns. Data products specifically designed to resolve land uses complement land cover datasets and likely improve our ability to unde...

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Autor principal: Theobald, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984247/
https://www.ncbi.nlm.nih.gov/pubmed/24728210
http://dx.doi.org/10.1371/journal.pone.0094628
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author Theobald, David M.
author_facet Theobald, David M.
author_sort Theobald, David M.
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description Land cover maps reasonably depict areas that are strongly converted by human activities, but typically are unable to resolve low-density but widespread development patterns. Data products specifically designed to resolve land uses complement land cover datasets and likely improve our ability to understand the extent and complexity of human modification. Methods for developing a comprehensive land use classification system are described, and a map of land use for the conterminous United States is presented to reveal what we are doing on the land. The comprehensive, detailed and high-resolution dataset was developed through spatial analysis of nearly two-dozen publicly-available, national spatial datasets – predominately based on census housing, employment, and infrastructure, as well as land cover from satellite imagery. This effort resulted in 79 land use classes that fit within five main land use groups: built-up, production, recreation, conservation, and water. Key findings from this study are that built-up areas occupy 13.6% of mainland US, but that the majority of this occurs as low-density exurban/rural residential (9.1% of the US), while more intensive built-up land uses occupy 4.5%. For every acre of urban and suburban residential land, there are 0.13 commercial, 0.07 industrial, 0.48 institutional, and 0.29 acres of interstates/highways. This database can be used to address a variety of natural resource applications, and I provide three examples here: an entropy index of the diversity of land uses for smart-growth planning, a power-law scaling of metropolitan area population to developed footprint, and identifying potential conflict areas by delineating the urban interface.
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spelling pubmed-39842472014-04-15 Development and Applications of a Comprehensive Land Use Classification and Map for the US Theobald, David M. PLoS One Research Article Land cover maps reasonably depict areas that are strongly converted by human activities, but typically are unable to resolve low-density but widespread development patterns. Data products specifically designed to resolve land uses complement land cover datasets and likely improve our ability to understand the extent and complexity of human modification. Methods for developing a comprehensive land use classification system are described, and a map of land use for the conterminous United States is presented to reveal what we are doing on the land. The comprehensive, detailed and high-resolution dataset was developed through spatial analysis of nearly two-dozen publicly-available, national spatial datasets – predominately based on census housing, employment, and infrastructure, as well as land cover from satellite imagery. This effort resulted in 79 land use classes that fit within five main land use groups: built-up, production, recreation, conservation, and water. Key findings from this study are that built-up areas occupy 13.6% of mainland US, but that the majority of this occurs as low-density exurban/rural residential (9.1% of the US), while more intensive built-up land uses occupy 4.5%. For every acre of urban and suburban residential land, there are 0.13 commercial, 0.07 industrial, 0.48 institutional, and 0.29 acres of interstates/highways. This database can be used to address a variety of natural resource applications, and I provide three examples here: an entropy index of the diversity of land uses for smart-growth planning, a power-law scaling of metropolitan area population to developed footprint, and identifying potential conflict areas by delineating the urban interface. Public Library of Science 2014-04-11 /pmc/articles/PMC3984247/ /pubmed/24728210 http://dx.doi.org/10.1371/journal.pone.0094628 Text en © 2014 David M http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Theobald, David M.
Development and Applications of a Comprehensive Land Use Classification and Map for the US
title Development and Applications of a Comprehensive Land Use Classification and Map for the US
title_full Development and Applications of a Comprehensive Land Use Classification and Map for the US
title_fullStr Development and Applications of a Comprehensive Land Use Classification and Map for the US
title_full_unstemmed Development and Applications of a Comprehensive Land Use Classification and Map for the US
title_short Development and Applications of a Comprehensive Land Use Classification and Map for the US
title_sort development and applications of a comprehensive land use classification and map for the us
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984247/
https://www.ncbi.nlm.nih.gov/pubmed/24728210
http://dx.doi.org/10.1371/journal.pone.0094628
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